Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity

Fuente: arXiv
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1. Verfasser: Reser, Jared Edward
Format: Preprint
Veröffentlicht: 2022
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author Reser, Jared Edward
author_facet Reser, Jared Edward
contents This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized modules of the cerebral cortex. These are structured hierarchically and integrated into a global workspace. They are capable of temporarily maintaining high-level representational patterns akin to the psychological items maintained in working memory. This maintenance is made possible by persistent neural activity in the form of two modalities: sustained neural firing (resulting in a focus of attention) and synaptic potentiation (resulting in a short-term store). Representations held in persistent activity are recursively replaced resulting in incremental changes to the content of the working memory system. As this content gradually evolves, successive processing states overlap and are continuous with one another. The present article will explore how this architecture can lead to iterative shift in the distribution of coactive representations, ultimately leading to mental continuity between processing states, and thus to human-like thought and cognition. Taken together, these components outline a biologically motivated route toward synthetic consciousness or artificial sentience and subjectivity.
format Preprint
id arxiv_https___arxiv_org_abs_2204_05138
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
Reser, Jared Edward
Neurons and Cognition
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computing
Symbolic Computation
This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized modules of the cerebral cortex. These are structured hierarchically and integrated into a global workspace. They are capable of temporarily maintaining high-level representational patterns akin to the psychological items maintained in working memory. This maintenance is made possible by persistent neural activity in the form of two modalities: sustained neural firing (resulting in a focus of attention) and synaptic potentiation (resulting in a short-term store). Representations held in persistent activity are recursively replaced resulting in incremental changes to the content of the working memory system. As this content gradually evolves, successive processing states overlap and are continuous with one another. The present article will explore how this architecture can lead to iterative shift in the distribution of coactive representations, ultimately leading to mental continuity between processing states, and thus to human-like thought and cognition. Taken together, these components outline a biologically motivated route toward synthetic consciousness or artificial sentience and subjectivity.
title Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
topic Neurons and Cognition
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computing
Symbolic Computation
url https://arxiv.org/abs/2204.05138